What you will work on

Play a significant role in the development and implementation of analytic tools that quantify the impact of climate change, environment, resources, and technological change on the financial performance of companies and securities.

Implement world class microeconomic fundamental analysis and statistical analysis in Python, and potentially build a power sector dispatch model.

Help to define and build ETL (Extract, Transform, and Load) processes for getting data into a form used for analysis.

Build an early stage product with a great roadmap and significant impact on the financial industry, and on redirecting capital flows into sustainable assets.

The software we’re creating, rather than requiring a team with PhD data scientists and weeks of expensive consulting, can run hundreds of scenario outputs in milliseconds. We combine proprietary research with best-in-class additional data sources and systematize it. The Intersect engine uses advanced data science that’s up to standards of the best quant research analysts, but its visualizations of climate-related ramifications for sectors such as transportation, metals and mining, manufacturing, and IT are easily understandable by a CIO or investment committee. Need for our product is driven by massive growth in commitments by pension funds, endowments, and family offices to divest from carbon-intensive holdings and reinvest in climate solutions — $3.3 Trillion in new commitments last year – and by intense competition between financial services providers to capture those assets under management.

We have initial seed funding, a prototype built with Python and MongoDB, and active discussions underway with several prospective beta partners. Our team includes very active advisors with world-class data science and investment capabilities and a track record of starting and growing successful companies.

The company is based in the American Underground on Main Street in Durham, North Carolina, USA.